Agentic Analytics Reviews and Ratings
What is Agentic Analytics?
Gartner defines agentic analytics as software used for the process of data analysis that applies AI agents across the data-to-insight workflow, orchestrating tasks semi-autonomously or autonomously toward stated goals that support, augment or automate insights. Agentic analytics’ must-have capabilities are data source connectivity, data preparation, agent workflow orchestration, automated insights and natural language query. Optional capabilities include data storytelling, a coding assistant, function calling, agent memory, embedded analytics and platform administration. Agentic analytics is the evolution of augmented analytics through the application of AI agents to data analysis.
Product Listings
Filter by
Tableau is a software designed for data visualization and business intelligence that enables users to connect, analyze, and share data insights from various sources. It provides features such as interactive dashboards, drag and drop analytics, and integration with spreadsheet, cloud, and relational databases. The software helps organizations transform raw data into visual representations including charts, graphs, and maps, allowing for the identification of patterns, trends, and outliers. Tableau addresses business challenges related to data analysis and reporting by simplifying the process of extracting actionable insights and supporting informed decision-making across different functional areas.
Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. Amazon QuickSight allows you to ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations, perform accurate forecasting and what-if analysis, and embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications to differentiate user experience and unlock new monetization opportunities.
Zoho Analytics is a software designed to support business intelligence and data analytics needs by enabling users to visually analyze data, generate insightful reports, and create interactive dashboards. The software provides capabilities for integrating data from multiple sources, such as files, feeds, cloud storage, databases, and business applications, allowing organizations to consolidate and explore data efficiently. Zoho Analytics offers tools for data modeling, data blending, and automated data preparation, along with options for collaborative analysis and sharing. The software addresses the business problem of transforming raw data into actionable insights, facilitating data-driven decision-making across departments.
Joule is a software developed by SAP that serves as a generative AI copilot integrated within SAP applications and business processes. The software is designed to facilitate users in generating insights, recommendations, and process automation by leveraging conversational and contextual AI. Joule enables interaction with enterprise data, supporting tasks such as report creation, workflow optimization, and information retrieval. By integrating with existing SAP solutions, the software addresses business challenges related to decision-making efficiency, data accessibility, and operational productivity across various departments. Joule aims to streamline enterprise workflows through natural language interfaces, reducing manual effort and supporting data-driven business outcomes.
Microsoft Power BI is a software designed for business analytics and data visualization. It enables users to aggregate, analyze, and share data through interactive dashboards and reports. The software supports integration with various data sources including databases, cloud services, and spreadsheets, allowing for real-time insights and data-driven decision making. Power BI provides features such as customizable visualizations, data modeling, and automated data refresh. It addresses business challenges related to data accessibility and analysis by offering tools to simplify complex data sets and present information in an understandable format. The software is suitable for organizations seeking to centralize business intelligence tasks within their workflow.
Looker is a software that enables organizations to explore, analyze, and share real-time business analytics and data insights. It provides a browser-based interface for data exploration and reporting, allowing users to create interactive dashboards and visualizations without requiring deep technical knowledge. The software supports integration with multiple data sources and enables data modeling using a flexible language, thereby facilitating customized analysis aligned with business requirements. Looker assists businesses in transforming raw data into actionable insights, supporting data-driven decision-making across various departments such as finance, sales, and operations. The software offers features designed to simplify data governance, ensure consistent metrics, and foster collaboration among teams.
Databricks AI/BI is a software that integrates artificial intelligence and business intelligence capabilities on a unified analytics platform. The software enables organizations to analyze and visualize structured or unstructured data, generate insights, and build and deploy machine learning models. Databricks AI/BI supports collaborative data workflows by allowing data engineers, analysts, and data scientists to work together within the platform. The software automates data preparation, feature engineering, and model selection processes, and provides tools for creating interactive dashboards and reports. Databricks AI/BI addresses the business problem of transforming raw data into actionable insights by streamlining analytics and machine learning tasks within a single environment.
Tellius is an analytics software designed to facilitate data analysis and business intelligence through automated insights and search-driven technology. The software enables users to integrate information from various sources and utilize built-in natural language processing to query data and uncover trends, patterns, and actionable answers. It offers visualization tools for custom dashboards, reports, and exploration of metrics, supporting decision-making across different business functions. Tellius also incorporates machine learning capabilities for identifying correlations, performing root cause analysis, and providing recommendations to address business challenges. The software aims to streamline complex data analysis processes, enhance the accessibility of insights, and help organizations resolve operational and strategic issues by leveraging existing data assets.
Artificio is a software that focuses on automating content creation and management through artificial intelligence. The software provides tools for generating written content, images, and other multimedia assets, aiming to streamline the production process for businesses that require marketing, editorial, or design materials. Artificio addresses the challenge of manual content generation by utilizing machine learning algorithms to create and refine assets efficiently, reducing time and resource expenditure for organizations. The software offers features such as natural language processing, scalable content output, and integration capabilities with other platforms, allowing users to adapt generated materials according to specific project requirements.
Hex is a software platform designed to facilitate collaborative data analysis and workflow automation. It enables users to organize, explore, and visualize data within a shared environment, integrating tools for code, visualizations, and documentation. The software supports connecting to various data sources, building interactive reports, and automating routine analytics tasks. Hex addresses common business challenges related to data accessibility, transparency, and teamwork by enabling both technical and non-technical users to work together on data projects and share insights efficiently.
WisdomAI is an artificial intelligence software designed to assist organizations in accessing, managing, and leveraging internal knowledge and information. The software offers features such as advanced search, knowledge retrieval, document analysis, and question answering capabilities. It uses natural language processing to interpret and respond to user queries by understanding context and extracting relevant data from a variety of sources including documents, files, and messages. WisdomAI aims to address challenges related to information silos and inefficient knowledge sharing by streamlining access to organizational content, supporting faster decision-making, and improving operational productivity through automation and intelligent insights.
Aible is an artificial intelligence software designed to enable organizations to build and deploy predictive models that align with business objectives. The software provides tools for data preparation, automated machine learning model creation, and scenario analysis without requiring extensive coding or data science expertise. Aible facilitates integration with existing workflows and enterprise systems, allowing users to generate actionable insights directly within business processes. The software emphasizes rapid deployment and iteration, supporting collaboration among business stakeholders to refine machine learning outcomes. Aible addresses the challenge of translating machine learning predictions into measurable business impact by allowing users to adjust parameters and constraints based on changing priorities or evolving operational conditions.
BlueOcean Track is a software designed to assist organizations with brand tracking and competitive analysis by leveraging artificial intelligence. The software provides tools that collect and analyze brand data from various sources, enabling businesses to monitor brand performance in real time. It offers features such as customizable dashboards, automated insights, and reporting on metrics including brand perception, share of voice, and market trends. BlueOcean Track supports decision making by identifying risks and opportunities related to brand strategy. The software addresses challenges related to manual data collection and limited visibility into brand positioning, allowing organizations to make informed decisions based on up-to-date analytics.
DataGenie is a software designed to streamline data analytics and business intelligence tasks by enabling users to interact with their data through a conversational interface. The software allows users to query data using natural language, generate customized charts and reports, and automate repetitive data processing workflows. DataGenie integrates with various databases and business applications to centralize data access and supports data exploration, summarization, and visualization. The software addresses business challenges related to time-intensive manual queries, fragmented data sources, and the need for easy-to-understand insights without requiring advanced technical skills.
DevRev is a software designed to facilitate collaboration between development and product teams by providing a unified platform that integrates product management, customer support, issue tracking, and workflow automation. The software enables users to capture product feedback, manage bug reports, prioritize feature requests, track development progress, and align support operations with engineering efforts. By centralizing information and processes, DevRev helps organizations streamline communication, resolve customer issues efficiently, and improve product development cycles. The software addresses business challenges related to fragmented workflows and lack of visibility across teams, supporting companies in coordinating activities from user feedback to code deployment.
Improvado is a software designed for marketing data aggregation and analytics. The software connects with various marketing platforms to centralize disparate data sources, enabling automated extraction, transformation, and loading of marketing data into reporting and visualization tools. Improvado supports integration with numerous advertising, social media, analytics, and CRM platforms. The software offers data normalization and mapping features to help standardize information for comprehensive analysis. It assists businesses in reducing manual data collection processes, improving data accuracy, and supporting the creation of customized dashboards and reports. Improvado aims to streamline data workflows for marketing and analytics teams by providing unified access to marketing performance metrics in one platform.
The Alation Data Intelligence Platform is an enterprise-grade, agentic data intelligence and governance platform that powers people and AI agents with trusted data and knowledge to deliver measurable business outcomes. Alation differentiates through active metadata and agentic capabilities, combining behavioral signals, lineage, governance context, data quality and AI-powered agents to surface risk, automate governance actions, flag data quality issues and support governed data products. By embedding trusted data knowledge directly into analytics tools, workflows, and AI-driven processes, Alation enables organizations to operationalize data and AI with confidence at scale.
Atlas AI is a software developed by Cognite that applies artificial intelligence and machine learning to industrial data for advanced analytics and process optimization. The software ingests and processes data from diverse sources, including sensors, equipment, and enterprise systems, to generate actionable insights for asset performance, predictive maintenance, and operational efficiency. It enables user-driven model creation, automates anomaly detection, and helps identify patterns to improve industrial workflows. Atlas AI addresses complex industrial challenges by facilitating data-driven decision making and supporting digital transformation initiatives across manufacturing, energy, and process industries.
Contentful’s headless CMS is part of its digital experience platform offering for marketers and developers who need to deliver impactful experiences across every channel—quickly and at scale.
By combining its headless CMS with native contextual AI, Contentful enables rapid iteration, real-time targeting, experimentation, optimization, and consistent omnichannel delivery of on-brand, data-driven content.
Contentful empowers teams to adapt, reuse, and publish modular content without relying on developers, enabling rapid iteration, real-time targeting, experimentation, and optimization.
With a robust ecosystem, and built on an API-first platform, Contentful gives teams the freedom to easily build or deploy new integrations quickly to meet the ever-evolving needs of their brand.
Trusted by global market leaders, Contentful is built for enterprise reliability, extensibility, and future-proof growth—helping organizations maximize ROI and outperform in today’s competitive digital landscape.
Cube is a semantic layer that is used to connect data silos, create consistent metrics, and make them accessible to BI tools, customer-facing embedded analytics, as well as LLMs, AI chatbots, and agents.
The Cube Cloud product has four key features that are organized as layers;
- Semantic Layer: Define business metrics with data modeling upstream of data applications.
- Access Control: Grant viewing and operating permissions to individual data consumers at both the raw data and metrics levels.
- Caching: Two-level caching system uses in-memory cache, queue management, and configurable pre-aggregations.
- APIs: Cube directly supports all data sources that use SQL to access data. Connectivity to data experiences is powered by a variety of APIs (REST API, GraphQL API, and SQL API) that enable Cube to deliver data to any data app possible.
Features of Agentic Analytics
Updated March 2026Mandatory Features:
Data source connectivity: The ability to handle multimodal data input and produce multistructured analytics outputs. Agentic analytics seamlessly integrate a wide range of data types — structured, semistructured and unstructured — from both internal and external sources. This includes diverse formats such as text, audio, images and video, enabling comprehensive analytics
Natural language query: The ability to enable users to interact with data using natural language, either typed or spoken. Advanced chatbots facilitate conversational Q&A, delivering data-to-insight interactions with full data visualizations. The platforms can group, filter and rank answers, providing comparisons, trend analysis, and geospatial and temporal understanding. They utilize temporal algorithms (e.g., time since/until, longer/slower) and geospatial algorithms (e.g., distance, route), presenting answers as maps. AI-enabled predictions and forecasting come with explanations and customizations, enhancing user engagement and understanding
Automated insights: The ability to employ machine learning techniques to automatically generate insights for end users, such as identifying key attributes in a dataset. AI agents proactively identify significant patterns, trends and anomalies, generating human-readable narratives that explain data findings. They provide probabilistic confidence scores for each insight and contextualize them within broader business performance frameworks. Responsible insight generation includes audit trails, explicit confidence scoring, uncertainty quantification, statistical significance and potential limitations. The platforms also detect algorithmic bias across multiple dimensions and offer human oversight options
Agent workflow orchestration: The ability for platforms to semi autonomously or autonomously manage tasks to achieve specified goals. These platforms feature adaptive workflow design, self-configuring process flows based on new data inputs or evolving objectives, real-time decision making regarding task sequencing, and automatic error detection and recovery mechanisms. AI agents can dynamically allocate and optimize resources, continuously learning and improving orchestration strategies
Data preparation: The ability to combine data from various sources to create analytics models, including user-defined measures, data pipelines, sets, groups and hierarchies. AI agents can autonomously explore and understand complex data structures, dynamically addressing quality issues and inconsistencies. Additionally, they can comprehend relationships between data attributes, automatically suggesting meaningful joins and integrations while recognizing semantic connections across disparate sources. They infer potential data transformations based on historical patterns and business context, sharing insights and best practices across different data preparation tasks


















